Data Engineer
Praha 4, Czech republic
Eurowag
Optimize your transport business with Eurowag's comprehensive solutions: fuel cards, toll services, fleet management, tax refunds, and more. Streamline operations and save across Europe.Company Description
WE are EW - founded just over 27 years ago Eurowag is one of the fastest growing, integrated mobility and payment solution companies in Europe. We focus on finding solutions that simplify the lives of commercial mobility companies.
Our vision is to democratize the on-road mobility industry by creating sustainable financial & technological solutions for the benefit of our industry, society and the environment.
Job Description
THIS IS WHERE YOU COME IN...
The Mission of Data Engineering is to define, develop and maintain overall data architecture covering all data domains within Eurowag.
Establish best practices for building data products supporting company vision and strategy. Ensure standardization for data management aiming on increasing data quality at raw systems up to solutions delivered in production, utilizing company data and providing insights to company and our customers.
You will work on initiatives like:
- Our Data Platform was awarded by Microsoft as best Data & Analytics solution in Czech Republic, help us with future development and utilizing full potential of top notch technologies 😊
- Customer segmentation - Understanding customer behaviors and needs so that we can define patterns for specific segments. Drive product adoption and increase of product usage across defined segments.
- Pricing strategy – evaluation and prediction of pricing components in order to determine optimal revenue generation.
- Implementation of Enterprise level KPIs is one of key company priorities and critical part of our future growth. Analyze and ensure also long-term decommissioning of currently existing reporting solution.
YOU WILL DO:
- Elicit business data requirements, identify data sources and required data elements, perform data validation and integration activities.
- Translate business data needs to specific technical requirements and tasks.
- Take responsibility for whole ETL/ELT solution and design new sustainable solution from ground up.
- Ownership of data pipelines with focus on stability, performance improvements and optimization of overall solution.
- Oversee the data warehouse, source system tables, and transformations necessary for intelligent reporting, thus ensure that business users have access to reliable data which are essential to make informed decisions.
- Work in conjunction with the Data Analytics to build scalable and manageable data intelligence solution.
- Diagnose data quality issues using formal problem-solving techniques and probe underlying issues to generate potential solutions. Make recommendations and guide corrective and/or preventive actions.
- Write and document results of your work to make them easily understandable to other colleagues.
- Meet with the skill matrix and achieve level of your position.
Qualifications
YOU WILL NEED:
- At least 2 years of relevant experience in the area of business intelligence, data analytics or data engineering
- Solid understanding of data integration tools, ETL/ELT processes, data modelling concepts and data warehouse architecture
- Experience with DWH platforms like Google BigQuery, Snowflake, Azure Data Warehouse or MS SQL Server
- Good knowledge of database principles, strong proficiency in SQL and programming languages used for data manipulation and data analysis
- Inquisitive, analytical problem-solving mindset
- Fluent English
Additional Information
WHY JOIN US?
EW is diverse, disruptive and still evolving; we choose newcomers not only by skill but also whether they can be real colleagues through shared values. What's more is you will have an opportunity to influence the direction of our company through your ideas.
We are as big as a corporation but maintain a start-up mentality with benefits that include:
- Flexible working hours with regular home office option, remote work is possible.
- 5 weeks of holidays plus 3 health days per year.
- Flexible benefits scheme from Cafeteria where you choose your preferred products/services: meal voucher card, pension contribution, Multisport, leisure and culture activities.
- Referral Rewards through our 'Go Far' scheme.
- Paid leave for volunteering towards a good cause or charity of your choice.
- Opportunity to use the Products our customers love.
- Modern office offering adjustable standing desks, relaxation rooms, summer terrace, on-site restaurant, bicycle stands and fresh fruit every day.
- Dog-friendly office and a fully-equipped kids corner.
Join Us on a journey to Go Far!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure BigQuery Business Intelligence Data analysis Data Analytics Data management Data pipelines Data quality Data warehouse ELT Engineering ETL KPIs MS SQL Pipelines Snowflake SQL
Perks/benefits: Flex hours Health care Pet friendly Startup environment
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